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In differential geometry, **pushforward** is a linear approximation of smooth maps (formulating manifold) on tangent spaces. Suppose that is a smooth map between smooth manifolds; then the **differential** of at a point , denoted , is, in some sense, the best linear approximation of near . It can be viewed as a generalization of the total derivative of ordinary calculus. Explicitly, the differential is a linear map from the tangent space of at to the tangent space of at , . Hence it can be used to *push* tangent vectors on *forward* to tangent vectors on . The differential of a map is also called, by various authors, the **derivative** or **total derivative** of .

Let be a smooth map from an open subset of to an open subset of . For any point in , the Jacobian of at (with respect to the standard coordinates) is the matrix representation of the total derivative of at , which is a linear map

between their tangent spaces. Note the tangent spaces are isomorphic to and , respectively. The pushforward generalizes this construction to the case that is a smooth function between *any* smooth manifolds and .

Let be a smooth map of smooth manifolds. Given the **differential** of at is a linear map

from the tangent space of at to the tangent space of at The image of a tangent vector under is sometimes called the **pushforward** of by The exact definition of this pushforward depends on the definition one uses for tangent vectors (for the various definitions see tangent space).

If tangent vectors are defined as equivalence classes of the curves for which then the differential is given by

Here, is a curve in with and is tangent vector to the curve at In other words, the pushforward of the tangent vector to the curve at is the tangent vector to the curve at

Alternatively, if tangent vectors are defined as derivations acting on smooth real-valued functions, then the differential is given by

for an arbitrary function and an arbitrary derivation at point (a derivation is defined as a linear map that satisfies the Leibniz rule, see: definition of tangent space via derivations). By definition, the pushforward of is in and therefore itself is a derivation, .

After choosing two charts around and around is locally determined by a smooth map between open sets of and , and

in the Einstein summation notation, where the partial derivatives are evaluated at the point in corresponding to in the given chart.

Extending by linearity gives the following matrix

Thus the differential is a linear transformation, between tangent spaces, associated to the smooth map at each point. Therefore, in some chosen local coordinates, it is represented by the Jacobian matrix of the corresponding smooth map from to . In general, the differential need not be invertible. However, if is a local diffeomorphism, then is invertible, and the inverse gives the pullback of

The differential is frequently expressed using a variety of other notations such as

It follows from the definition that the differential of a composite is the composite of the differentials (i.e., functorial behaviour). This is the *chain rule* for smooth maps.

Also, the differential of a local diffeomorphism is a linear isomorphism of tangent spaces.

The differential of a smooth map induces, in an obvious manner, a bundle map (in fact a vector bundle homomorphism) from the tangent bundle of to the tangent bundle of , denoted by , which fits into the following commutative diagram:

where and denote the bundle projections of the tangent bundles of and respectively.

induces a bundle map from to the pullback bundle *φ*^{∗}*TN* over via

where and The latter map may in turn be viewed as a section of the vector bundle Hom(*TM*, *φ*^{∗}*TN*) over *M*. The bundle map is also denoted by and called the **tangent map**. In this way, is a functor.

Given a smooth map *φ* : *M* → *N* and a vector field *X* on *M*, it is not usually possible to identify a pushforward of *X* by *φ* with some vector field *Y* on *N*. For example, if the map *φ* is not surjective, there is no natural way to define such a pushforward outside of the image of *φ*. Also, if *φ* is not injective there may be more than one choice of pushforward at a given point. Nevertheless, one can make this difficulty precise, using the notion of a vector field along a map.

A section of *φ*^{∗}*TN* over *M* is called a **vector field along φ**. For example, if

Suppose that *X* is a vector field on *M*, i.e., a section of *TM*. Then, yields, in the above sense, the **pushforward** *φ*_{∗}*X*, which is a vector field along *φ*, i.e., a section of *φ*^{∗}*TN* over *M*.

Any vector field *Y* on *N* defines a pullback section *φ*^{∗}*Y* of *φ*^{∗}*TN* with (*φ*^{∗}*Y*)_{x} = *Y*_{φ(x)}. A vector field *X* on *M* and a vector field *Y* on *N* are said to be ** φ-related** if

In some situations, given a *X* vector field on *M*, there is a unique vector field *Y* on *N* which is *φ*-related to *X*. This is true in particular when *φ* is a diffeomorphism. In this case, the pushforward defines a vector field *Y* on *N*, given by

A more general situation arises when *φ* is surjective (for example the bundle projection of a fiber bundle). Then a vector field *X* on *M* is said to be **projectable** if for all *y* in *N*, *dφ*_{x}(*X _{x}*) is independent of the choice of

Given a Lie group , we can use the multiplication map to get left multiplication and right multiplication maps . These maps can be used to construct left or right invariant vector fields on from its tangent space at the origin (which is its associated Lie algebra). For example, given we get an associated vector field on defined by for every . This can be readily computed using the curves definition of pushforward maps. If we have a curve where we get since is constant with respect to . This implies we can interpret the tangent spaces as .

For example, if is the Heisenberg group given by matrices it has Lie algebra given by the set of matrices since we can find a path giving any real number in one of the upper matrix entries with (i-th row and j-th column). Then, for we have which is equal to the original set of matrices. This is not always the case, for example, in the group we have its Lie algebra as the set of matrices hence for some matrix we have which is not the same set of matrices.

- Lee, John M. (2003).
*Introduction to Smooth Manifolds*. Springer Graduate Texts in Mathematics. Vol. 218. - Jost, Jürgen (2002).
*Riemannian Geometry and Geometric Analysis*. Berlin: Springer-Verlag. ISBN 3-540-42627-2.*See section 1.6*. - Abraham, Ralph; Marsden, Jerrold E. (1978).
*Foundations of Mechanics*. London: Benjamin-Cummings. ISBN 0-8053-0102-X.*See section 1.7 and 2.3*.